ai-use-case-assessment

ai-use-case-assessment is a skill for Claude Code from PranavNagrecha/AwesomeSalesforceSkills. It costs 101 tokens per session (3,220 once invoked), scanned A, original, no licence file.

A framework for choosing Salesforce AI projects before implementation. It compares potential value and effort, checks technical and operational feasibility, considers data and risk, and frames return on investment.

In plain words
What is it for?
Use it to identify, score, compare, and prioritize AI use cases before approving implementation.
Why use it?
It helps teams avoid starting AI projects that lack useful data, clear value, or a realistic path to delivery.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sfskills plugin — 74 skills, 69 commands, 50 agents shipped together

Good fit Use it to identify, score, compare, and prioritize AI use cases before approving implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add PranavNagrecha/AwesomeSalesforceSkills --skill ai-use-case-assessment
Clone the repo
git clone --depth 1 https://github.com/PranavNagrecha/AwesomeSalesforceSkills

Made for: Claude Code.

Or install sfskills, the plugin that ships this one along with the rest of its 74 skills, 69 commands, 50 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ai-use-case-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment/github.svg)](https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment)
Your own site
<a href="https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment"><img src="https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ai-use-case-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment"><img src="https://agentmods.dev/badge/skills/pranavnagrecha/awesomesalesforceskills/ai-use-case-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,220 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.03220
Opus 5 $0.00051 $0.01610
Sonnet 5 $0.00020 $0.00644
Haiku 4.5 $0.00010 $0.00322

Measured 9d ago against content hash 051032615945, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-use-case-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/check_ai_use_case_assessment.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/admin/ai-use-case-assessment/SKILL.md · 195 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 195 lines · 101 tokens per session scan A 051032615945

Subscribe to this mod's changes

ai-use-case-assessment is a skill published in the GitHub repository PranavNagrecha/AwesomeSalesforceSkills (17 stars, last pushed 8d ago), with no licence file. It adds 101 tokens to every session and 3,220 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

ai-use-case-assessment

Use this skill to identify, score, and prioritize Salesforce AI use cases before any implementation begins — covering opportunity identification, Impact-Effort matrix scoring, feasibility evaluation across Technical/Operational/Data/Risk dimensions, and ROI framing. NOT for implementation, enablement, feature…

BanibrataChatterjee/AwesomeSalesforceSkills · 66 tokens

sota-llm-engineering

State-of-the-art LLM application engineering rules (mid-2026 baseline) for BUILDING and AUDITING LLM-powered features. Claude should use this skill whenever it is building, modifying, or reviewing anything that calls a language model — chat features, RAG pipelines, agents and tool use, structured extraction…

martinholovsky/SOTA-skills · 231 tokens

sota-ml-engineering

State-of-the-art ML engineering / MLOps rules (2026) for BUILDING and AUDITING production machine-learning systems — the training→serving→monitoring lifecycle of classical/predictive ML. Distinct from LLM apps (prompts/RAG/agents → sota-llm-engineering). Covers ML system architecture (feature stores, model registry…

martinholovsky/SOTA-skills · 243 tokens

context-management

Strategies for managing AI agent context windows including optimization, summarization, retrieval-augmented generation, progressive disclosure, and pruning. Use when the user is hitting context limits, building long-running agents, implementing RAG, optimizing token usage, or designing systems that need to manage…

VersoXBT/claude-initial-setup · 66 tokens

prompt-engineering

Prompt engineering patterns for Claude including system prompts, few-shot examples, chain-of-thought, structured output, templates, and prefilling. Use when the user is writing prompts, designing system instructions, extracting structured data, building prompt templates, or optimizing Claude responses for quality and…

VersoXBT/claude-initial-setup · 60 tokens

anthropic-sdk-guide

Guide for Anthropic Python/TypeScript SDK usage including messages API, streaming, prompt caching, batches, token counting, and error handling. Use when the user is building with the Anthropic API, setting up Claude SDK, calling messages endpoints, implementing streaming, or troubleshooting API errors.

VersoXBT/claude-initial-setup · 62 tokens